100+ datasets found
  1. Data analytics with US Superstore data

    • kaggle.com
    Updated Feb 13, 2023
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    Muhammad Altaf Khan (2023). Data analytics with US Superstore data [Dataset]. https://www.kaggle.com/datasets/altafk/data-analytics-with-us-superstore-data/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 13, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Muhammad Altaf Khan
    Description

    Dataset

    This dataset was created by Muhammad Altaf Khan

    Contents

  2. U.S. Superstore Sales Trends (2015–2019)

    • kaggle.com
    Updated Apr 5, 2025
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    P. S. Vamshi Krishna (2025). U.S. Superstore Sales Trends (2015–2019) [Dataset]. https://www.kaggle.com/datasets/psvamshikrishna/u-s-superstore-sales-trends-20152019/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 5, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    P. S. Vamshi Krishna
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The Superstore Sales Dataset provides detailed transactional data from a retail superstore operating across the United States. It includes records of customer orders made between 2015 and 2019, capturing key sales, shipping, and regional details.

    🧾 Key Columns: Order Date & Ship Date – Timeline of transactions and delivery

    State & Region – Geographic location of the order

    Category & Sub-Category – Type of product sold (e.g., Furniture, Office Supplies)

    Sales – Revenue generated per item (in dollars)

    Quantity – Number of units sold

    Discount – Discount applied on the sale

    Shipping Mode – Delivery method (Standard, First Class, Second Class, Same Day)

    ⚠️ Note: The dataset does not include profit or customer demographic information.

    🗺️ Coverage: Time: 5 years (2015–2019)

    Location: All major U.S. regions and states

    Products: Multiple categories and sub-categories

    Shipping: All standard delivery modes

    This dataset is ideal for beginners to explore sales trends, regional performance, product analysis, and customer behavior patterns through visualizations and summary statistics.

  3. Growth in superstore monthly visits U.S. 2023

    • statista.com
    Updated May 22, 2025
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    Statista (2025). Growth in superstore monthly visits U.S. 2023 [Dataset]. https://www.statista.com/statistics/1391653/superstores-monthly-visits-growth-us/
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2022 - Apr 2023
    Area covered
    United States
    Description

    In the month of February 2022, superstores recorded the highest growth in monthly visits compared to the same period in 2021, up *** percent. On the other hand, the largest decrease in visits happened in April 2023, with a decline of *** percent compared to the same period of the previous year.

  4. h

    superstore

    • huggingface.co
    Updated Apr 7, 2025
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    Sheeraz Ullah (2025). superstore [Dataset]. https://huggingface.co/datasets/odinmind/superstore
    Explore at:
    Dataset updated
    Apr 7, 2025
    Authors
    Sheeraz Ullah
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    odinmind/superstore dataset hosted on Hugging Face and contributed by the HF Datasets community

  5. United States: warehouse club and superstore monthly sales 2017-2023

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). United States: warehouse club and superstore monthly sales 2017-2023 [Dataset]. https://www.statista.com/statistics/1107226/warehouse-club-and-superstore-sales-us-by-month/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2017 - Dec 2023
    Area covered
    United States
    Description

    In December 2023, United States warehouse clubs and superstores sales were estimated to reach **** billion U.S. dollars, up from **** billion attained the same month a year before. Costco and Sam's Club are two of the biggest warehouse club retailers in the United States.

  6. Seair Exim Solutions

    • seair.co.in
    Updated Jan 7, 2014
    + more versions
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    Seair Exim (2014). Seair Exim Solutions [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 7, 2014
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  7. Growth in superstore weekly visits U.S. 2023

    • statista.com
    Updated Apr 15, 2023
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    Statista (2023). Growth in superstore weekly visits U.S. 2023 [Dataset]. https://www.statista.com/statistics/1346618/superstores-weekly-visits-growth-us/
    Explore at:
    Dataset updated
    Apr 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2, 2023 - Mar 27, 2023
    Area covered
    United States
    Description

    In the week of February 6, 2023, superstores recorded the highest decline in weekly visits compared to the same period in 2022, down *** percent. Positive growth was only observed in the weeks of January 2 and February 13, when visits to superstores increased by *** and *** percent, respectively, compared to a year earlier.

  8. F

    Index of Department Store Sales for United States

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
    + more versions
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    (2012). Index of Department Store Sales for United States [Dataset]. https://fred.stlouisfed.org/series/M06F2AUSM343SNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Index of Department Store Sales for United States (M06F2AUSM343SNBR) from Jan 1919 to Dec 1946 about retail trade, sales, retail, indexes, and USA.

  9. Seair Exim Solutions

    • seair.co.in
    Updated Jun 6, 2019
    + more versions
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    Seair Exim (2019). Seair Exim Solutions [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jun 6, 2019
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  10. Seair Exim Solutions

    • seair.co.in
    + more versions
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    Seair Exim, Seair Exim Solutions [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  11. F

    Retail Sales: Warehouse Clubs and Superstores (DISCONTINUED)

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    Retail Sales: Warehouse Clubs and Superstores (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/MRTSSM45291USN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Retail Sales: Warehouse Clubs and Superstores (DISCONTINUED) (MRTSSM45291USN) from Jan 1992 to Feb 2025 about warehouse, retail trade, sales, retail, and USA.

  12. Furniture city superstore Import Company US

    • seair.co.in
    Updated Feb 1, 2001
    + more versions
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    Seair Exim (2001). Furniture city superstore Import Company US [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  13. A

    ‘🏦 US Retail Sales Per Capita by Store Type’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘🏦 US Retail Sales Per Capita by Store Type’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-us-retail-sales-per-capita-by-store-type-46e1/fadb9a71/?iid=002-694&v=presentation
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘🏦 US Retail Sales Per Capita by Store Type’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/us-retail-sales-per-capita-by-store-type-2000-20e on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    I have added a column on the right that shows the compound annual growth rate (CGR) of per capita spending from 2000 to 2015.

    source:

    This dataset was created by Gary Hoover and contains around 0 samples along with Unnamed: 15, Unnamed: 9, technical information and other features such as: - Unnamed: 18 - Unnamed: 12 - and more.

    How to use this dataset

    • Analyze Unnamed: 4 in relation to Unnamed: 10
    • Study the influence of Unnamed: 14 on Unnamed: 1
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit Gary Hoover

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  14. M

    U.S. Retail Sales - Warehouse Clubs and Superstores (1992-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). U.S. Retail Sales - Warehouse Clubs and Superstores (1992-2025) [Dataset]. https://www.macrotrends.net/5552/us-retail-sales-warehouse-clubs-and-superstores
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1992 - 2025
    Area covered
    United States
    Description

    Information about the Monthly Retail Trade Survey can be found on the Census website at https://www.census.gov/retail/mrts/about_the_surveys.html

  15. a

    Complete List of K&G Fashion Superstore Locations in the United States

    • aggdata.com
    csv
    Updated Apr 2, 2025
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    AggData (2025). Complete List of K&G Fashion Superstore Locations in the United States [Dataset]. https://www.aggdata.com/aggdata/complete-list-kg-fashion-superstore-locations-united-states
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    AggData
    Area covered
    United States
    Description

    K&G Fashion Superstore is an off-price clothing retailer offering a wide variety of designer brands at significantly discounted prices. K&G Fashion Superstore caters to value-conscious shoppers who want a diverse selection of apparel and accessories for the whole family. The K&G Fashion Superstore model relies on buying merchandise opportunistically from various sources, allowing them to offer deep discounts to their customers. K&G's focus on value and selection has made them a popular destination for budget-minded fashion enthusiasts. You can download the complete list of key information about K&G Fashion Superstore U.S. locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The K&G Fashion Superstore data you can download includes:

    Identification & Location: 
    
    
      store_name, store_number, address, city, state, zip_code, latitude, longitude, country, country_code, county, geo_accuracy
    
    
    Contact Information: 
    
    
      phone_number, 
    
    
    Operational Details & Services: 
    
    
      Store_hours,  
    
  16. Bonaire superstore Import Company US

    • seair.co.in
    + more versions
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    Seair Exim, Bonaire superstore Import Company US [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  17. Share of superstores visits in the U.S. in Q1 2023, by chain

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Share of superstores visits in the U.S. in Q1 2023, by chain [Dataset]. https://www.statista.com/statistics/1392779/superstores-visits-us-by-chain/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter of 2023, more than half of all visits to superstore chains in the United States were made to Walmart locations. Meanwhile, just over ** percent of superstores visits in that quarter were made to Costco.

  18. a

    Complete List of PGA TOUR Superstore Locations in the United States

    • aggdata.com
    csv
    Updated Apr 8, 2025
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    AggData (2025). Complete List of PGA TOUR Superstore Locations in the United States [Dataset]. https://www.aggdata.com/aggdata/complete-list-pga-tour-superstore-locations-united-states
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    AggData
    Area covered
    United States
    Description

    PGA TOUR Superstore aims to be the ultimate destination for golf and tennis enthusiasts, offering a vast selection of equipment, apparel, and accessories from all major brands. PGA TOUR Superstore locations go beyond traditional retail by incorporating interactive elements like hitting bays, putting greens, and simulators, creating an engaging experience where customers can try before they buy. The PGA TOUR Superstore business model focuses on being a one-stop shop, providing expert advice from PGA Professionals and certified club fitters, and offering services like club fitting and repair. By combining a comprehensive product selection with an experiential retail approach, PGA TOUR Superstore cultivates a strong brand image and fosters a sense of community among golf and tennis enthusiasts. You can download the complete list of key information about PGA TOUR Superstore locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The PGA TOUR Superstore data you can download includes:

    Identification & Location:
    
    
      Store_name, store_number, address, address_line_2, city, state, zip_code, latitude, longitude, country, country_code, county, geo_accuracy
    
    
    Contact Information:
    
    
      Phone_number, 
    
    
    Operational Details & Services:
    
    
      Store_hours, 
    
  19. Retail Store Fixture Dealers in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Apr 1, 2025
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    IBISWorld (2025). Retail Store Fixture Dealers in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/retail-store-fixture-dealers/5532/
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    In recent years, revenue for the Retail Store Fixture Dealers industry has seen relatively steady growth. Rising consumer spending and growing per capita disposable income have encouraged consumer retail spending, providing retailers with the funds necessary for renovations and expansions, which, in turn, fuels the need for retail store fixtures. Growing corporate profit has also allowed companies to invest in retail store fixtures. Overall, revenue has risen at an expected CAGR of 4.4% to reach an estimated $9.2 billion in 2024, when revenue is set to grow 1.3%. Industry profit has followed a similar trend to industry revenue, seeing steady growth in recent years. Despite favorable economic trends, several developments have inhibited demand for retail fixtures over the past few years. For example, more retailers are demanding more versatile and portable fixtures that can be used long-term. Dealers are stocking portable pieces that break down quickly, making moving them to a different location or discarding them easier. The pandemic accelerated a trend toward e-commerce as many businesses shifted their focus to online operations to remain operable amid social distancing and stay-at-home orders. While this shift hurts demand from retail stores, warehouses used in e-commerce supply chains demand industry products. While the pandemic negatively affected the industry, it also presented a new opportunity for product development; demand for pandemic-related equipment, such as plastic register guards, social-distancing signs and hand sanitizer dispensers, drastically increased, aiding growth. Favorable economic conditions are forecast to boost retail sales, spurring demand for retail fixtures. The continued growth and popularity of e-commerce will likely reshape the industry's products and markets toward more generic and lower-margin fixtures. Overall, IBISWorld expects industry revenue to grow at a CAGR of 2.9% to reach an estimated $10.6 billion in 2029.

  20. United States JR: Same-Store Sales: DS: Nordstrom

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States JR: Same-Store Sales: DS: Nordstrom [Dataset]. https://www.ceicdata.com/en/united-states/johnson-redbook-samestore-sales-index-quarterly-yoy/jr-samestore-sales-ds-nordstrom
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2015 - Jan 1, 2018
    Area covered
    United States
    Description

    United States JR: Same-Store Sales: DS: Nordstrom data was reported at 0.600 % in Apr 2018. This records a decrease from the previous number of 2.600 % for Jan 2018. United States JR: Same-Store Sales: DS: Nordstrom data is updated quarterly, averaging 3.000 % from Jul 2011 (Median) to Apr 2018, with 28 observations. The data reached an all-time high of 10.700 % in Oct 2012 and a record low of -1.700 % in Apr 2016. United States JR: Same-Store Sales: DS: Nordstrom data remains active status in CEIC and is reported by Redbook Research Inc.. The data is categorized under Global Database’s USA – Table US.H012: Johnson Redbook Same-Store Sales Index: Quarterly: YoY%.

Share
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Close
Cite
Muhammad Altaf Khan (2023). Data analytics with US Superstore data [Dataset]. https://www.kaggle.com/datasets/altafk/data-analytics-with-us-superstore-data/discussion
Organization logo

Data analytics with US Superstore data

US Superstore Data For Decision making

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Feb 13, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Muhammad Altaf Khan
Description

Dataset

This dataset was created by Muhammad Altaf Khan

Contents

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